Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/e2/7718fb4b2c8827bc193dba858683be/.command.sh
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/c3/3dbf67880c155d8f925574b6c392de/Sig_18_tissue_alleles.tsv.gz
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/17/f1f525e251566ebc698c3796593ab2/Sig_18_Blood_alleles.tsv.gz
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/59/1c87b1f5a76102dae629ed9bc25d3d/Sig_18_Blood_normalized.parquet
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/tmp/7f/c565f48f9a6c273d4abe8c0ea2117e/pairs.tsv
Downloading: s3://natera-platform-sandbox/pipeline-inputs/test_sarek/shared/somatic_cnv/Homo_sapiens.GRCh38.110.chr21.gtf.gz
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/40/a339c818ce8e21269570993c4146f9/Sig_18_tissue_normalized.parquet
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/e2/7718fb4b2c8827bc193dba858683be/.command.run
==> STAGING COMPLETE (8 inputs)
mkdir -p failed for path /.config/matplotlib: [Errno 13] Permission denied: '/.config'
Matplotlib created a temporary cache directory at /tmp/matplotlib-vn60baig because there was an issue with the default path (/.config/matplotlib); it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
Processing 1 T/N pair(s)...
Enabled: mode=ascn, joint-seg, purity-estimation, adaptive-pen, weighted-seg, fit=clonal-decomp
Loading gene annotations from Homo_sapiens.GRCh38.110.chr21.gtf.gz...
Loaded 898 gene annotations
[1/1] custom_Sig_18_tumor_normal... MAD=0.2363, pen_mult=1.40/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
/usr/local/lib/python3.12/site-packages/sklearn/base.py:1403: ConvergenceWarning: Number of distinct clusters (10) found smaller than n_clusters (12). Possibly due to duplicate points in X.
return fit_method(estimator, *args, **kwargs)
fit_multiclone_select: n_peaks=4, n_segs=13, dipLogR=-0.1080
Greedy search: 4 model combinations
n_clones=1 best[0]: sum_rho=0.2016, cost=0.12318, ICL=-29.15, converged=True, n_iter=2, init=[0.2156], phi=[0.2016]
n_clones=2 best[0,1]: sum_rho=0.2159, cost=0.01157, ICL=-52.39, converged=True, n_iter=3, init=[0.0630, 0.2156], phi=[0.0704, 0.1455]
n_clones=3 best[0,1,2]: sum_rho=0.2149, cost=0.00641, ICL=-56.99, converged=True, n_iter=2, init=[0.0630, 0.1202, 0.2156], phi=[0.0632, 0.0583, 0.0934]
n_clones=4 best[0,1,2,3]: sum_rho=0.2149, cost=0.00622, ICL=-54.42, converged=True, n_iter=2, init=[0.0487, 0.0630, 0.1202, 0.2156], phi=[0.0479, 0.0149, 0.0586, 0.0935]
SELECTED (best-ICL): n_clones=3, ICL=-56.99, purity=0.2149 (4 models evaluated)
Wrote 4581 probes to custom_Sig_18_tumor_normal_probe_agg.tsv.gz
13 segments, 13 events, 255 genes
Wrote 13 segments (13 events) to custom_Sig_18_tumor_normal_segments.tsv
Wrote 13 segments to custom_Sig_18_tumor_normal.seg
Wrote 1 metrics rows to custom_Sig_18_tumor_normal_metrics.tsv
Wrote 255 gene entries to custom_Sig_18_tumor_normal_gene_cnv.tsv.gz
Wrote somatic VCF to custom_Sig_18_tumor_normal_somatic.vcf
Single-sample analysis...
custom_Sig_18_tumor_normal (tumor)... fit_multiclone_select: n_peaks=4, n_segs=14, dipLogR=-0.0920
Greedy search: 4 model combinations
n_clones=1 best[0]: sum_rho=0.0302, cost=0.00191, ICL=-84.07, converged=True, n_iter=2, init=[0.0344], phi=[0.0302]
n_clones=2 best[0,1]: sum_rho=0.1336, cost=0.01726, ICL=-51.59, converged=True, n_iter=2, init=[0.0344, 0.1345], phi=[0.0303, 0.1033]
n_clones=3 best[0,1,2]: sum_rho=0.1349, cost=0.01674, ICL=-49.31, converged=True, n_iter=3, init=[0.0344, 0.0964, 0.1345], phi=[0.0312, 0.0636, 0.0400]
n_clones=4 best[0,1,2,3]: sum_rho=0.4212, cost=0.01523, ICL=-48.56, converged=True, n_iter=5, init=[0.0344, 0.0964, 0.1345, 0.4207], phi=[0.0301, 0.0645, 0.0387, 0.2879]
SELECTED (best-ICL): n_clones=1, ICL=-84.07, purity=0.0302 (4 models evaluated)
14 segments, 14 events
Wrote 14 segments to ./tumor_only/custom_Sig_18_tumor_normal.seg
Wrote 4581 probes to ./tumor_only/custom_Sig_18_tumor_normal_probe_agg.tsv.gz
custom_Sig_18_tumor_normal (blood)... 1 segments, 0 events
Wrote 1 segments to ./blood_only/custom_Sig_18_tumor_normal.seg
Wrote 4581 probes to ./blood_only/custom_Sig_18_tumor_normal_probe_agg.tsv.gz
Single-sample analysis complete.